来自MSN

从零学习大模型（6）——Transformer 结构家族：从 Encoder 到 Decoder，大 ...

Transformer 架构的伟大之处，不仅在于提出了注意力机制，更在于提供了一套 “模块化” 的设计框架 —— 通过组合编码器（Encoder）和解码器（Decoder），可以衍生出多种结构变体。从 BERT 的 “纯编码器” 到 GPT 的 “纯解码器”，从 T5 的 “编码器 - 解码器” 到 ...
Search Engine Land

Transformer architecture: An SEO’s guide

As we encounter advanced technologies like ChatGPT and BERT daily, it’s intriguing to delve into the core technology driving them – transformers. This article aims to simplify transformers, explaining ...
VentureBeat

Why Transformers offer more than meets the eye

What do OpenAI’s language-generating GPT-3 and DeepMind’s protein shape-predicting AlphaFold have in common? Besides achieving leading results in their respective fields, both are built atop ...
The Next Web

What’s the transformer machine learning model? And why should you care?

This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI. (In partnership with Paperspace) In recent years, the transformer model has ...
VentureBeat

Google’s Evolved Transformer achieves state-of-the-art performance in translation tasks

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The Transformer, a type of AI architecture introduced in a 2017 paper ...
Semiconductor Engineering

NPU Acceleration For Multimodal LLMs

Transformer-based models have rapidly spread from text to speech, vision, and other modalities. This has created challenges for the development of Neural Processing Units (NPUs). NPUs must now ...